An IKONOS image fusion process using steepest decent method

Jun-Ichi Kudoh, Kazi A. Kalpoma, Yasutake Kurita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Various image fusion techniques have been conducted to merge various sensors data. However, when the existing image fusion processes are applied to the IKONOS images, the spectral distortion is appeared. To investigate this distortion problem, this work presents a study indicating that there are two reasons where the distortion of the spectrum is caused. To solve this color distortion problem, we proposed an image fusion process using Steepest Decent method which improves the correlation coefficients between the original 4m MS image and the fused 1m MS image. To evaluate our proposed image fusion process, the correlation coefficient between original MS (R, G and B) image and fused MS image and their average value have been compared for the correctness of spectral quality. Moreover the comparison among the proposed technique and existing processes (IHS image fusion, Brovey Transform, Principal Component Analysis) has been done. Our method has reduced the spectral distortion problem.

Original languageEnglish
Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages3248-3251
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
Duration: 2006 Jul 312006 Aug 4

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
CountryUnited States
CityDenver, CO
Period06/7/3106/8/4

Keywords

  • IKONOS
  • Image fusion process
  • Spectral distortion
  • Spectral response
  • Steepest decent method

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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